Browningperry4005

BACKGROUND The presence of white matter hyperintensities (WMHs) can impact on normal brain function by altering normal signal transmission and determining different symptoms. AIM To evaluate the relationship between the presence of brain WMHs and the scores of speech perception test (SPT) in a sample of normal-hearing patients under 70 years of age. MATERIAL AND METHOD Prospective study. AZD0156 inhibitor One hundred eleven patients underwent audiological screening with pure tone audiometry (PTA), tympanometry, speech perception testing (SPT), and brain magnetic resonance imaging (MRI). T2 sequences were analyzed to identify the presence of WMH that, if identified, were scored using the Fazekas score. Statistical multiple regression analysis was performed to understand the relationship between PTA and SPT score; the Pearson's and Spearman's tests were used to evaluate the correlation between Fazekas scores and SPT. Chi-square test was used to analyze the difference between gender. RESULTS The results of PTA were not predictive of the SPT score. A negative statistically significant correlation (Spearman's, p = 0.0001; Pearson's, p  less then  0.001) was identified between the Fazekas score and the results of SPT. No statistically significant differences were identified in the correlation of WMH and SPT between males and females. CONCLUSION Multiple WMHs in the brain can worsen word recognition in patients with normal auditory threshold; this may be related to the impact that these lesions have on the memory ability. Spread of lesions into the brain might reduce the brain capacity to remember words, despite the sound is correctly perceived by the ear.Numerous lung nodule candidates can be produced through an automated lung nodule detection system. Classifying these candidates to reduce false positives is an important step in the detection process. The objective during this paper is to predict real nodules from a large number of pulmonary nodule candidates. Facing the challenge of the classification task, we propose a novel 3D convolution neural network (CNN) to reduce false positives in lung nodule detection. The novel 3D CNN includes embedded multiple branches in its structure. Each branch processes a feature map from a layer with different depths. All of these branches are cascaded at their ends; thus, features from different depth layers are combined to predict the categories of candidates. The proposed method obtains a competitive score in lung nodule candidate classification on LUNA16 dataset with an accuracy of 0.9783, a sensitivity of 0.8771, a precision of 0.9426, and a specificity of 0.9925. Moreover, a good performance on the competition performance metric (CPM) is also obtained with a score of 0.830. As a 3D CNN, the proposed model can learn complete and three-dimensional discriminative information about nodules and non-nodules to avoid some misidentification problems caused due to lack of spatial correlation information extracted from traditional methods or 2D networks. As an embedded multi-branch structure, the model is also more effective in recognizing the nodules of various shapes and sizes. As a result, the proposed method gains a competitive score on the false positive reduction in lung nodule detection and can be used as a reference for classifying nodule candidates.This is a cross-sectional study to look at the utility of DXA-VFA in addition to bone mineral density (BMD) in the evaluation of postmenopausal osteoporosis. Vertebral fracture (VF) was detected in more than two-thirds of postmenopausal women referred for DXA-BMD. Addition of DXA-VFA detected additional 27% with VF whose BMD were in the non-osteoporotic range. INTRODUCTION VFs are the hallmark of osteoporotic fractures. Prevalent vertebral fractures are an independent risk factor for future fragility fractures. This study was conducted to look at the prevalence of VF by DXA-vertebral fracture assessment (VFA) and to study the utility of DXA-VFA in addition to bone mineral density (BMD) in the evaluation of osteoporosis. METHODS A cross-sectional study of the postmenopausal women above the age of 50 years who were referred for BMD assessment by DXA. All subjects underwent VFA and BMD assessment by Hologic DXA. RESULTS Four hundred postmenopausal women with a mean age of 62.7 ± 6.2 years underwent BMD and VFA assessment by DXA. Prevalent VF was seen in 261 (65.2%) subjects, of which 114 (28.5%) subjects, 135 (33.7%) subjects, and 12 (3%) subjects had mild, moderate, and severe VF, respectively. Among subjects with VF, 136 (52.1%) and 90 (34.5%) had BMD-defined osteoporosis at the spine and femur neck, respectively. Overall, 59% with VF had osteoporosis at either the spine or femur neck. Forty-one-percent subjects with VF had BMD in non-osteoporotic range at both sites, of which 20% had moderate-to-severe VF. Addition of DXA-VFA to BMD assessment detected additional 27% with VF whose BMD was in the non-osteoporotic range. CONCLUSION VF was seen in more than two-thirds of the postmenopausal women referred for osteoporosis evaluation. VFA identified additional patients with VF whose BMD was not in the osteoporotic range. Incorporation of VFA to BMD will assist in documenting prevalent vertebral fracture which is an independent risk factor for incident fragility fracture irrespective of the BMD.Unfortunately in the original publication of the article, the Fig. 2 was missed in the PDF version of the article which is given in this correction. The original article has been corrected.BACKGROUND Sebaceous carcinoma (SC) is frequently classified as periocular or extraocular. Extraocular SC is rare and mainly occurs in the head and neck, the major salivary glands, or oral mucosa. SC of the breast, lung, and ovary is particularly rare, and the few cases of SC of the breast predominantly exhibit intraductal growth. CASE PRESENTATION A 47-year-old Japanese woman was referred to our hospital with accumulated polymorphic calcification in the left breast which was detected using mammography. Ultrasonography revealed an irregular 13-mm mass in the left breast, and analysis of a core needle biopsy revealed noninvasive ductal carcinoma. Total mastectomy and sentinel lymph node biopsy were performed. Histopathology demonstrated that carcinoma in situ (CIS) represented a significant lesion, and the cytoplasm of tumor cells was clear with numerous minute vacuoles. Immunohistochemical analysis demonstrated that most tumor cells expressed adipophilin. Together, these findings led to a diagnosis of SC, mainly comprising CIS.